iPhone18,2
Geekbench AI Score
9047
Single Precision Score
16549
Half Precision Score
16978
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 20 2025 05:06 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4204
781.8 IPS |
|
|
Image Classification (HP)
|
100% |
8103
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7540
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6035
97.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9468
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10509
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20156
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53420
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57957
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.8 IPS |
|
|
Object Detection (HP)
|
100% |
8095
642.1 IPS |
|
|
Object Detection (Q)
|
93% |
7998
638.0 IPS |
|
|
Face Detection (SP)
|
100% |
11054
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
22945
272.6 IPS |
|
|
Face Detection (Q)
|
100% |
17595
209.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17799
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35044
270.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37841
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43385
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96596
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119037
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19132
706.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22324
824.3 IPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6512
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6396
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4788
82.7 IPS |
